A small cadre of scientists and entrepreneurs convened a two-week long SFI working group to address the growing gap between our physical and social technologies.
Neuroscientists and complexity scientists meet to develop new tools for studying the brain as a complex network. Their working group, titled “Cognitive Regime Shift: When the Brain Breaks,” is part of SFI’s Aging, Adaptation, and the Arrow of Time research theme, funded by the James S. McDonnell Foundation.
Parakeet pecking orders, basketball match-ups, and the tenure-track: How analyzing winners and losers can reveal rank within networks
In a paper published in Science Advances, researchers from the Santa Fe Institute describe a new algorithm called SpringRank that uses wins and losses to quickly find rankings lurking in large networks. When tested on a wide range of synthetic and real-world datasets, ranging from teams in an NCAA college basketball tournament to the social behavior of animals, SpringRank outperformed other ranking algorithms in predicting outcomes and in efficiency.
On July 17, 2018, at The Lensic Performing Arts Center, economists Samuel Bowles and Wendy Carlin discussed the social consequences of a failed economic model, then outlined a new economic paradigm as the basis for a more sustainable and just global future. Watch the lecture.
SFI hosts a working group July 10-13, 2018 to discuss climate projections for the next 50 years and what those projections may mean for the future human niche.
This question of how the collective influences individual performance is central to the work of SFI’s investigation into the limits of human performance. In a workshop that takes place June 25-27, experts from a range of disciplines, including physiology, organizational behavior, sports analytics and applied mathematics, explore how the collective affects the individual.
The latest scientific understanding of time, and how time shapes our experience, were subjects of a June 19 panel discussion between physicist James Hartle, cosmologist Sean Carroll, evolutionary theorist David Krakauer, and science writer Jenniffer Ouellette. Watch the panel discussion.
SFI Professor David Wolpert has been included in a NASA Group Achievement Award for his work on the Machine Learning and Data Sciences Team.
Agent-based modeling has been used to study everything from economics to biology to political science to business and management. This July, programmers and non-programmers alike can learn to model by enrolling in Introduction to Agent-based Modeling, Complexity Explorer’s massive open online course (MOOC).
On June 11, the SFI Press released the second volume in its Seminar Series, The Emergence of Premodern States, edited by Jeremy A. Sabloff and Paula L.W. Sabloff. This project tackles one of the most deceptively simple inquiries in archaeology: How did humans transition from hunter-gatherer societies into states — collective entities that are the movers and shakers of the modern world?
An SFI team led by Professor Mirta Galesic has received a nearly $500,000 grant from the US Department of Agriculture’s National Institute of Food and Agriculture to study how people form beliefs about genetically modified crops.
External Professor Constantino Tsallis has been elected as a member of the Academia de Ciencias de America Latina
SFI Miller Scholar Laurence Gonzales has won the Eric Hoffer Book Award and Montaigne Medal for his bestseller Deep Survival: Who Lives, Who Dies, and Why.
We humans make social judgments about ourselves and others that can appear contradictory. A new Social Sampling Model, presented by Professor Mirta Galesic and External Professor Henrik Olsson, suggest these apparently conflicting judgments can be explained by a single quantitative theory.
Complexity scientists meet at SFI to examine how collective decisions get made in biological systems and to what degree those systems share a mechanism from one system to the next.